Automatic glitch elimination of scanning probe microscopy images

Area of Science:

• Materials Science
• Nanotechnology
• Microscopy

Background:

• Scanning probe microscopy (SPM) is susceptible to glitch artifacts caused by transient instabilities.
• These artifacts can compromise the accuracy of quantitative nanoscale measurements.
• Existing methods for artifact removal may lead to loss of important signal details, particularly in sharp structures.

Purpose of the Study:

• To develop and evaluate a robust method for eliminating glitch artifacts in SPM images.
• To address the trade-off between glitch removal and the preservation of fine structural details.
• To enhance the reliability of quantitative analyses in nanoscale measurements.

Main Methods:

• Implementation of a robust smoothing technique to identify and remove glitch artifacts.
• Development of a post-restoration process to recover lost signal details by analyzing extracted glitch data.
• Testing the method on diverse sample images to assess its efficiency and impact on structural integrity.

Main Results:

• The adopted smoothing method effectively eliminates glitch artifacts from SPM images.
• The post-restoration technique successfully recovers information from sharp structures that would otherwise be lost.
• Quantitative analyses on SPM images are improved in accuracy and reliability.

Conclusions:

• The proposed method offers an effective solution for glitch artifact removal in SPM.
• This approach balances artifact elimination with the preservation of critical nanoscale details.
• Enhanced SPM image quality improves the value of quantitative nanoscale measurements.